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Computational Diffusion MRI

MICCAI Workshop, Munich, Germany, October 9th, 2015

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Andrea Fuster

    1. Dept of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands

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  2. Aurobrata Ghosh

    1. Centre for Medical Image Computing, University College London, London, United Kingdom

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  3. Enrico Kaden

    1. Centre for Medical Image Computing, University College London, London, United Kingdom

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  4. Yogesh Rathi

    1. Brigham and Women's Hospital, Harvard Medical School, Boston, USA

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  5. Marco Reisert

    1. Department of Radiology, University Medical Center, Freiburg, Germany

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Part of the book series: Mathematics and Visualization (MATHVISUAL)

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Table of contents (19 papers)

  1. Front Matter

    Pages i-ix
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  2. Orals

    1. Front Matter

      Pages 1-1
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    2. An Efficient Finite Element Solution of the Generalised Bloch-Torrey Equation for Arbitrary Domains

      • Leandro Beltrachini, Zeike A. Taylor, Alejandro F. Frangi
      Pages 3-14

    3. Super-Resolution Reconstruction of Diffusion-Weighted Images Using 4D Low-Rank and Total Variation

      • Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen
      Pages 15-25

    4. Holistic Image Reconstruction for Diffusion MRI

      • Vladimir Golkov, Jorg M. Portegies, Antonij Golkov, Remco Duits, Daniel Cremers
      Pages 27-39

    5. Alzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRI

      • Talia M. Nir, Julio E. Villalon-Reina, Boris A. Gutman, Daniel Moyer, Neda Jahanshad, Morteza Dehghani et al.
      Pages 41-54

    6. Brain Tissue Micro-Structure Imaging from Diffusion MRI Using Least Squares Variable Separation

      • Hamza Farooq, Junqian Xu, Essa Yacoub, Tryphon Georgiou, Christophe Lenglet
      Pages 55-64

    7. Multi-Tensor MAPMRI: How to Estimate Microstructural Information from Crossing Fibers

      • Mauro Zucchelli, Lorenza Brusini, C. Andrés Méndez, Gloria Menegaz
      Pages 65-74

    8. On the Use of Antipodal Optimal Dimensionality Sampling Scheme on the Sphere for Recovering Intra-Voxel Fibre Structure in Diffusion MRI

      • Alice P. Bates, Zubair Khalid, Rodney A. Kennedy
      Pages 75-86

    9. Estimation of Fiber Orientations Using Neighborhood Information

      • Chuyang Ye, Jiachen Zhuo, Rao P. Gullapalli, Jerry L. Prince
      Pages 87-96

  3. Posters

    1. Front Matter

      Pages 97-97
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    2. A Framework for Creating Population Specific Multimodal Brain Atlas Using Clinical T1 and Diffusion Tensor Images

      • Vikash Gupta, Grégoire Malandain, Nicholas Ayache, Xavier Pennec
      Pages 99-108

    3. Alignment of Tractograms as Linear Assignment Problem

      • Nusrat Sharmin, Emanuele Olivetti, Paolo Avesani
      Pages 109-120

    4. Accelerating Global Tractography Using Parallel Markov Chain Monte Carlo

      • Haiyong Wu, Geng Chen, Zhongxue Yang, Dinggang Shen, Pew-Thian Yap
      Pages 121-130

    5. Adaptive Enhancement in Diffusion MRI Through Propagator Sharpening

      • Tom Dela Haije, Neda Sepasian, Andrea Fuster, Luc Florack
      Pages 131-143

    6. Angular Resolution Enhancement of Diffusion MRI Data Using Inter-Subject Information Transfer

      • Geng Chen, Pei Zhang, Ke Li, Chong-Yaw Wee, Yafeng Wu, Dinggang Shen et al.
      Pages 145-157

    7. Crossing Versus Fanning: Model Comparison Using HCP Data

      • Aurobrata Ghosh, Daniel Alexander, Hui Zhang
      Pages 159-169

    8. White Matter Fiber Set Simplification by Redundancy Reduction with Minimum Anatomical Information Loss

      • Gali Zimmerman Moreno, Guy Alexandroni, Hayit Greenspan
      Pages 171-182

    9. A Temperature Phantom to Probe the Ensemble Average Propagator Asymmetry: An In-Silico Study

      • Marco Pizzolato, Demian Wassermann, Tanguy Duval, Jennifer S. W. Campbell, Timothé Boutelier, Julien Cohen-Adad et al.
      Pages 183-194

    10. Registration Strategies for Whole-Body Diffusion-Weighted MRI Stitching

      • Jakub Ceranka, Mathias Polfliet, Frederic Lecouvet, Nicolas Michoux, Johan de Mey, Jef Vandemeulebroucke
      Pages 195-206
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Keywords

About this book

These Proceedings of the 2015 MICCAI Workshop “Computational Diffusion MRI” offer a snapshot of the current state of the art on a broad range of topics within the highly active and growing field of diffusion MRI. The topics vary from fundamental theoretical work on mathematical modeling, to the development and evaluation of robust algorithms, new computational methods applied to diffusion magnetic resonance imaging data, and applications in neuroscientific studies and clinical practice.

Over the last decade interest in diffusion MRI has exploded. The technique provides unique insights into the microstructure of living tissue and enables in-vivo connectivity mapping of the brain. Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into clinical practice. New processing methods are essential for addressing issues at each stage of the diffusion MRI pipeline: acquisition, reconstruction, modeling and model fitting, image processing, fiber tracking, connectivity mapping, visualization, group studies and inference.

This volume, which includes both careful mathematical derivations and a wealth of rich, full-color visualizations and biologically or clinically relevant results, offers a valuable starting point for anyone interested in learning about computational diffusion MRI and mathematical methods for mapping brain connectivity, as well as new perspectives and insights on current research challenges for those currently working in the field. It will be of interest to researchers and practitioners in the fields of computer science, MR physics, and applied mathematics.​

Editors and Affiliations

  • Dept of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands

    Andrea Fuster

  • Centre for Medical Image Computing, University College London, London, United Kingdom

    Aurobrata Ghosh, Enrico Kaden

  • Brigham and Women's Hospital, Harvard Medical School, Boston, USA

    Yogesh Rathi

  • Department of Radiology, University Medical Center, Freiburg, Germany

    Marco Reisert

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